Cloud infrastructure resource management

云计算是IT行业的一个常见名称。然而，云计算使用量的增加也伴随着复杂性的增加。以最低成本实现最佳利用的有效资源管理是一项至关重要的任务。这项工作的范围在IaaS服务模块下，该模块处理基础架构资源(虚拟机、服务器、存储和网络)分配。资源管理提供以下好处：弹性/可伸缩性、服务质量、最佳效用、减少开销、提高吞吐量、减少延迟、成本效益和简化界面。虚拟机迁移是最流行的资源管理方式之一，而实时虚拟机迁移是重新加载或重新安排数据中心内的资源以保持所提供服务可用的最常用技术。统计数据显示，70%的数据中心资源未得到利用。因此，减少服务器和硬件的数量不仅会降低其资金成本，还将降低其运行维护成本。此外，作为资源管理的一部分，实时VM迁移将促进负载平衡和能源管理。VM迁移包括优化选择要迁移的VM、必须选择哪台物理服务器来移动此VM、何时开始迁移过程以及迁移过程的持续时间。VM选择技术的目标是降低功耗、提高负载均衡和提高容错能力，最终将提高云服务的可用性和吞吐量/效率。提高的效率降低了总体运营成本、污染(绿色数据中心)和硬件维护。迁移过程本身的目标是在最短的时间内移动虚拟机，以避免任何服务中断。在此研究提案中，我们与Cistech Ltd合作，考虑研究缩短迁移过程时间的解决方案，并以最佳方式选择用于实时迁移的虚拟机。我们的项目目标是开发智能算法，该算法将评估可用于负载平衡、服务器整合、网络带宽、VM收缩或扩展以及容错的可用运行资源。我们的项目将推动IT数据中心运行的节能和成本节约。

Cloud computing is a common name in IT industry. However increase in Cloud computing usage also comes with increased complexity. Efficient resource management for best utilization with minimal cost is a crucial task. The scope of this work is under IaaS service module, which handles infrastructure resources (Virtual Machines, Servers, Storage, and Network) allocation. Resource management offers the following benefits: elasticity/scalability, QoS, optimal utility, reduced overhead, improved throughput, reduced latency, cost effectiveness and simplified interface. VM migration is one of the most popular way to manage resources, and Live VM migration is the most used technique to reload or rearrange the resources in datacenter to keep the delivered services available. Statistics shows 70% of datacenters resources is not utilized. Therefore, reduction in number of servers and hardware will not only reduce its capital costs, but will also reduce its running and maintenance cost. In addition, Live VM migration will facilitate load balancing and energy management as part of resource management. VM migration consists of optimally selecting VM to be migrated, which physical server must be chosen to move this VM, when to start migration process, and duration of migration process. The goals for VM Selection techniques are to reduce power consumption, increase load balancing, and increase fault tolerance, which eventually will increase the cloud services availability and throughput/efficiency. The increased efficiency reduces the overall operation costs, pollution (green datacenters), and hardware maintenance. Migration Process itself targets moving the VM in minimum time to avoid any interruption of services. In this research proposal, in collaboration with Cistech Ltd, we consider investigating solutions to decrease the migration process time and optimally selecting VMs for live migration. Our project goal is to develop smart algorithms that will evaluate the available running resources for load balancing, server consolidation, network bandwidth, VMs shrinking or expanding and fault tolerance. Our project will drive the energy saving and the cost saving in running the IT datacenters.